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Laminar Flow: Problem Solving01:24

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Laminar flow occurs when a fluid moves smoothly in parallel layers with minimal mixing and turbulence. In fluid mechanics, ensuring laminar flow within a pipe is essential for precise control of flow characteristics, especially in engineering applications. The key factor in determining whether flow remains laminar is the Reynolds number, a dimensionless quantity that depends on the fluid's velocity, density, viscosity, and the pipe's diameter. A Reynolds number of 2100 or lower...
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Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
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Solving the laminar boundary layer problem in heat transfer with heuristic optimization techniques.

Özen Günal1, Mustafa Akpinar2,3

  • 1Department of Computer Programming, Manisa Celal Bayar University, Manisa, Turkey.

Heliyon
|July 24, 2023
PubMed
Summary

This study optimized laminar boundary layer heat transfer using heuristic algorithms. Particle Swarm Optimization (PSO), Simulated Annealing (SA), Artificial Bee Colony (ABC), and Firefly Algorithm (FA) proved most effective for heat transfer problems.

Keywords:
Artificial bee colonyFlat plateHeat transferLaminar boundary layersOptimizationParticle swarm optimization

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Area of Science:

  • Heat Transfer
  • Fluid Dynamics
  • Computational Science

Background:

  • Heat transfer is crucial in energy conversion, heating, and cooling systems.
  • Laminar boundary layer flow on a flat plate is a key area within heat transfer studies.
  • Optimization algorithms are increasingly applied to complex thermal problems.

Purpose of the Study:

  • To evaluate the performance of various heuristic algorithms in optimizing laminar boundary layer heat transfer.
  • To determine the suitability of algorithms for optimizing boundary layer thickness, heat flux, and leading edge distance.
  • To compare the efficiency and processing times of different optimization techniques.

Main Methods:

  • Employed six well-known exploratory algorithms: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Simulated Annealing (SA), Ant Colony Optimization for Continuous Domains (ACOR), Artificial Bee Colony (ABC), and Firefly Algorithm (FA).
  • Optimized three critical properties: laminar boundary layer thickness, heat flux, and distance from the leading edge.
  • Evaluated each property under minimum, maximum, and target conditions.

Main Results:

  • Particle Swarm Optimization (PSO), Simulated Annealing (SA), Artificial Bee Colony (ABC), and Firefly Algorithm (FA) demonstrated superior suitability compared to Genetic Algorithm (GA) and Ant Colony Optimization for Continuous Domains (ACOR).
  • Firefly Algorithm (FA) and Simulated Annealing (SA) exhibited longer processing times.
  • Heuristic algorithms successfully identified global or near-global solutions for the heat transfer optimization problem.

Conclusions:

  • Heuristic algorithms are effective tools for solving complex heat transfer problems, particularly in laminar boundary layer analysis.
  • PSO, SA, ABC, and FA are recommended for similar optimization tasks due to their performance.
  • Algorithm selection should consider a balance between solution accuracy and computational processing time.